The Security Alerts Application is an AI-powered mobile app built using React Native for iOS and Android. It provides real-time notifications of security threats, health and safety violations, and theft prevention by monitoring CCTV cameras. Leveraging FCM push notifications, the app ensures that users are alerted to suspicious behavior in real time and can review notifications with comprehensive metadata, including timestamps and video snapshots. The app was completely rewritten to handle high volumes of notifications efficiently, offering seamless performance and enhanced security monitoring capabilities.
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The initial prototype of the Security Alerts Application struggled to handle the sheer volume of push notifications on iOS and Android devices. The client needed a scalable, reliable system that could process real-time alerts asynchronously and store them locally for easy review. The app also required AI-powered monitoring to detect suspicious behavior and reduce false alarms.
The client wanted an app that could deliver live notifications from CCTV cameras regarding security threats, health and safety violations, and theft prevention. The key goals were to improve notification handling, increase scalability, and deliver an intuitive interface for users to evaluate security incidents.
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We rewrote the application using React Native to ensure cross-platform compatibility on both iOS and Android devices. The core focus was on optimizing the app’s ability to handle a high volume of GCM push notifications. By implementing an asynchronous processing model, we ensured notifications were processed efficiently without overwhelming users with unnecessary alerts.
Our team followed an agile development approach, focusing on solving the performance bottlenecks. Notifications were designed to be stored locally with comprehensive data, including title, description, date, time, and video snapshots, which allowed users to scroll through and assess past alerts at any time.
The mobile framework is built on React Native and utilizes Firebase Cloud Messaging (FCM) for notifications. It features custom AI algorithms for behavior detection and supports both iOS and Android platforms, ensuring a versatile and responsive user experience.
The initial app struggled with performance due to the high volume of notifications and the need for asynchronous processing. Storing notifications locally without sacrificing performance was a key issue.
We implemented an optimized notification handling system, using local storage and asynchronous processes to manage the influx of notifications efficiently. This allowed the app to deliver real-time alerts without performance degradation.
By rewriting the app, the client saw significant improvements in performance and reliability. The system now successfully handles large volumes of push notifications on both iOS and Android. The AI-powered behavior monitoring significantly reduced false alarms, ensuring only critical alerts were delivered in real time.
The Security Alerts Application has set a new benchmark in real-time security monitoring, offering users peace of mind by delivering timely, accurate notifications. With its AI-powered monitoring and advanced notification handling, the app ensures that users are always informed of potential security threats, health violations, or theft incidents, making it an essential tool in modern surveillance systems.
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